Journal of Forest Economics最新文献_第6页

Determinants of Household Fuelwood Consumption in Giant Panda Nature Reserves 大熊猫自然保护区家庭木材消费的决定因素

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2021-02-09 DOI: 10.1561/112.00000528

Wenhui Chen, Zhonggong Yang, Yijing Zhang

{"title":"Determinants of Household Fuelwood Consumption in Giant Panda Nature Reserves","authors":"Wenhui Chen, Zhonggong Yang, Yijing Zhang","doi":"10.1561/112.00000528","DOIUrl":"https://doi.org/10.1561/112.00000528","url":null,"abstract":"Fuelwood collection is one of the main human activities threatening giant pandasâ habitats. The main purpose of this paper is to analyze the determinants of fuelwood consumption by households inside and around Chinaâs panda nature reserves. Finding these determinants is not only useful in understanding energy consumption behavior, but also for creating more effective policy to protect giant pandasâ habitats. We conducted a questionnaire survey in the Qinling mountain areas of Shaanxi province; 187 effective questionnaires from 16 villages in five nature reserves were collected and analyzed using a Tobit model. The results show that the average fuelwood consumption per household around panda nature reserves was 1.22 t in year 2017, and that there was no significant difference in fuelwood consumption between households inside or outside the nature reserves. Apart from household income, both the number of household members and ownership of energy-saving stoves show significant effects on fuelwood consumption. We conclude that the establishment of these nature reserves has not contributed towards decreasing fuelwood consumption inside the nature reserves, but it has transferred the harvesting location for fuelwood from inside the nature reserve to the outside. Since the increase in household income can significantly reduce the fuelwood consumption, policymakers should focus on how to increase rural household incomes to decrease fuelwood consumption. However, providing rural households around nature reserves with energy-saving stoves tends not to be an effective measure for reducing the fuelwood consumption.","PeriodicalId":54831,"journal":{"name":"Journal of Forest Economics","volume":"36 1","pages":"125-140"},"PeriodicalIF":0.9,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42868824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Gender and Risk Preference on Forest Management Decisions of Rural Households in China: Evidencefrom Giant Panda Nature Reserves 性别和风险偏好对中国农户森林经营决策的影响——来自大熊猫自然保护区的证据

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2021-02-09 DOI: 10.1561/112.00000529

Yijing Zhang, N. Hogarth, W. Duan

引用次数: 1

Can Satellite-Based Weather Index Insurance Hedge the Mortality Risk of Pine Stands? 卫星气象指数保险能否对冲松林死亡风险?

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2021-01-01 DOI: 10.1561/112.00000533

W. Kölle, M. Buchholz, O. Musshoff

引用次数: 1

A Gravity Model of Softwood Lumber Trade: An Application to the Canada-U.S. Trade Dispute 软木材贸易的重力模型:在加美贸易中的应用。贸易争端

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2021-01-01 DOI: 10.1561/112.00000534

Xin-tong Li, Fatemeh Mokhtarzadeh, G. C. van Kooten

引用次数: 1

On the Asymmetric Effects of Exchange Rate Changes on Trade Flows: Evidence from the U.S.-Canada Trade in Forest Products 汇率变动对贸易流动的不对称影响:来自美国-加拿大林产品贸易的证据

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2021-01-01 DOI: 10.1561/112.00000535

Jiangqin Xu, Jungho Baek

引用次数: 0

The Loop Effect: How Climate Change Impacts the Mitigation Potential of the French Forest Sector 循环效应:气候变化如何影响法国森林部门的减缓潜力

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2021-01-01 DOI: 10.1561/112.00000522

P. Delacote, A. Lobianco, S. Caurla, J. Bontemps, Anna Lungarska, P. Mérian, M. Riviere, A. Barkaoui

引用次数: 1

Understanding Consumers OnlineFurniture Purchase Behavior: AnUpdated UTAUT Perspective 了解消费者在线家具购买行为：UTAUT最新视角

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2020-08-26 DOI: 10.1561/112.00000516

Ying Li, Xiao Li, Zongli Zhang, Guangsheng Zhang, Min Gong

{"title":"Understanding Consumers Online\u0000Furniture Purchase Behavior: An\u0000Updated UTAUT Perspective","authors":"Ying Li, Xiao Li, Zongli Zhang, Guangsheng Zhang, Min Gong","doi":"10.1561/112.00000516","DOIUrl":"https://doi.org/10.1561/112.00000516","url":null,"abstract":"Furniture is large-volume durable goods, and the furniture purchase behavior is featured by live experience, large payment for a single purchase, and low frequency of purchase. We selected consumers who accept online furniture shopping behavior. This study on the online furniture purchase behavior of these potential customers would facilitate precise marketing activities for furniture e-commerce and build a full-line e-commerce model for large-volume durable goods. The revised UTAUT2 (unified theory of acceptance and use of technology) model was used to design a questionnaire on the intention for online furniture purchase. We used structural equation modeling (SEM) to analyze the data obtained from the responses to questionnaires distributed among 277 Chinese consumers. By order of importance, the price value, performance expectancy, and social influence exerted a significant positive impact on online furniture purchase intention, while the perceived risk exerted a significant negative impact on consumersâ online purchase intention. Although the facilitating conditions exerted no significant impact on online shopping intention, they had a significant positive impact on the acceptance of online furniture shopping, just like purchase intention. Furthermore, gender, online shopping years, and online furniture purchasing experience exhibited a partial moderating effect on consumersâ online purchases of furniture. Thus, sellers can effectively promote consumersâ online furniture purchase by promotions, pricing, and service.","PeriodicalId":54831,"journal":{"name":"Journal of Forest Economics","volume":"35 1","pages":"267-303"},"PeriodicalIF":0.9,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47079475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Quantifying the Announcement Effectsin the U.S. Lumber Futures Market 量化公告对美国木材期货市场的影响

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2020-08-26 DOI: 10.1561/112.00000519

Z. Ismailova, Xiaoli L. Etienne, Shishir Shakya, F. Mattos

{"title":"Quantifying the Announcement Effects\u0000in the U.S. Lumber Futures Market","authors":"Z. Ismailova, Xiaoli L. Etienne, Shishir Shakya, F. Mattos","doi":"10.1561/112.00000519","DOIUrl":"https://doi.org/10.1561/112.00000519","url":null,"abstract":"The impact of information release from public report announcements has been widely investigated in many commodity markets, but little attention has been paid to the lumber market. In this paper, we use generalized autoregressive conditional heteroskedasticity (GARCH) models to examine the effect of two housing market reports, namely the New Residential Construction (Housing Starts) and the New Residential Sales reports, on the U.S. lumber futures market from 2000 to 2017. Our results suggest that the housing starts report indeed affects lumber market volatility, while the new home sales report exerts a minor impact. We further find that the effect of the two reports decreases with inventory levels and differs depending on the nature of the news. When the level of inventory is low, larger-than-expected housing starts has a more substantial effect than lower-than-expected housing starts. During periods of abundant stocks, however, lower-than-expected housing starts increase the volatility more than larger-than-expected news. For the new home sales reports, we find that while lower-than-expected sales do not affect lumber price volatility, larger-than-expected sales do increase the volatility.","PeriodicalId":54831,"journal":{"name":"Journal of Forest Economics","volume":"35 1","pages":"375-395"},"PeriodicalIF":0.9,"publicationDate":"2020-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47672070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Timber Price Dynamics After a Natural Disaster: A Reappraisal 自然灾害后木材价格动态的再评价

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2020-08-26 DOI: 10.1561/112.00000520

Changyou Sun

引用次数: 2

Prospects for the Norwegian ForestSector: A Green Shift to Come? 挪威林业的前景:绿色转型即将到来?

IF 0.9 4区农林科学

Journal of Forest Economics Pub Date : 2020-08-26 DOI: 10.1561/112.00000517

E. Trømborg, E. Jåstad, T. Bolkesjø, P. Rørstad

引用次数: 4